- Introduction
- Welcome video by Fabien Gandon
- Historical introduction to the web architecture
- Separating presentation and content
- From pages to resources
- Linked data principles
- Stack of standards and languages
- The BBC Web site uses linked (open) data
- DBpedia at the heart of the linked open data cloud
- Searching the web of data
- Open Calais: from natural language to linked data
- When software agents access the web of data
- Linked data for exploratory search
- Take away week
Intermediate
Online
3 Weeks
Free
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
6 Hours Per Week
|
Course overview
Web of Data by Coursera is a Massive Open Online Course (MOOC) curated as a joint initiative by Université de Nice Sophia-Antipolis, Université Côte d'Azur, INRIA and EIT Digital. It is an intermediate level course that requires a basic knowledge of web languages and running and installing software.
During the Web of Data online course, you will learn the principles, standards and languages to exchange data on the web and develop new applications. The course curriculum has been divided into four sections covering the technical and core skills needed to master the web. Each week you will learn through a combination of short videos, quizzes, forums, and supplementary learning resources.
After finishing the Web of Data certification, you will have skills and knowledge in data mining, data analysis, machine learning, AI processing, and data management. It will take approximately 18 hours to complete the entire online programme.
The highlights
- Intermediate programme
- Videos in English with subtitles
- Electronic certificate
- EIT Digital offering
- Short video lessons
- Quizzes and forums
- Free to join the course
- Supplementary learning resources
- Graded assignments
- Financial aid
Program offerings
- Intermediate level study
- Financial aid
- Flexible learning
- Audit option available
- Shareable e-certificate
- Professional certificate
- 18 hours to complete
- Videos in english
- Eit digital offering
- 100% online
Course and certificate fees
Type of course
- You can join Coursera’s Web of Data certification for free or pay the course fee to pursue the certificate and graded content.
- Coursera also provides financial aid if you cannot afford the fee.
Web of Data fee structure
Course Name | Fees |
Web of Data (Enrolment) | Free |
certificate availability
certificate providing authority
certificate fees
Eligibility criteria
Before joining the Web of Data training, you must have a basic knowledge and understanding of computers, classic web tools and languages. You must also know how to install and run software on a device.
Certification qualifying details
To earn the shareable Web of Data certificate, you need to complete the entire programme.
What you will learn
The Web of Data certification syllabus will enlighten you on the following concepts:
- Searching for query graph occurrences
- Mixing and using existing data to obtain new data
- Accessing data sources on the web remotely
- SPARQL Query Language
- Integrating data sources and formats
Admission details
Step 1: Open the Web of Data programme web page through this link here: https://www.coursera.org/learn/web-data
Step 2: Next, click on the ‘Enroll for free’ option, and you will be presented with two different options to join the programme.
Step 3: You can either audit the course and access it for free or pay the fee to gain the certificate. Choose one option to continue.
Step 4: After you select the fee option, make the payment. Else you can join and begin the programme.
Filling the form
The Web of Data certification course doesn’t ask you to fill any lengthy registration forms and has a straightforward enrolment process. Click on the ‘Enroll for free' button. Then, either join for free or purchase the course as per your goals.
The syllabus
Module 1: Principles of a Web of Linked Data
Videos
Readings
- Start of the course "Web of Data"
- Welcome and week 1 to-do-list
- Internet vs Web
- Documents about the World Wide Web Consorsium (W3C)
- XML parsers
- Namespace and URIs
- Discover who rents a domain name
- Choosing a scheme for your URIs
- To go further
- The many names of the Semantic Web
- Using semantic web and linked data approaches - The BBC website
- Open data cloud - DBpedia
- The Semantic Web Dog Food eating its own Dog Food...
- Search engines on the Web of Data
- Open Calais: Language processing techniques and machine learning techniques
- Getting HTML and XML data
- Exploratory search engine
- Slides of The 1st Week
- Important: A Web of Linked Data
- Summary of Week 1 - Principles of a web of linked data
Quizzes
- Ideas and inventors
- Standards and Recommendations
- Find the missing values in this piece of XML
- Linked Data Principles
- Surfing DBpedia
- Using the CURL command
Discussion Prompts
- Introduce yourself
- Technical problems and general questions about this MOOC
- Questions about this Week Contents
- Share your Resources
Module 2: The RDF data model
Videos
- Describing resources
- Triple model and graph model
- Serialisation syntaxes
- Values, types and languages
- Representing groups
- Naming graphs
- RDF schema
- Validating and translating RDF data
- Visualisation of RDF graphs
- Take away week
Readings
- Introduction to week 2 and to-do-list
- To go further
- Composition Rules for RDF Triples and Graphs
- to go further
- An Example RDF Graph Serialized in Various RDF Syntaxes
- Transform RDF Statements from one RDF Syntax to Another
- To go further...
- Turtle and RDF/XML Codes to Type Literal Values and Resources
- XML Schema Built-in Datatype Hierarchy5m
- To go further
- Turtle and RDF/XML Codes to Represent RDF Bags and Lists
- To go further...
- TriG and N-Quads Codes to Represent Named Graphs5m
- To go further...
- Turtle and RDF/XML Codes to Declare RDF Classes and Properties
- To go further
- RDF Validation Services
- RDF Visualization Service
- Guided our of the Web of Data
- Slides of the 2nd Week: the RDF Data Model
- The RDF Data Model
- Summary of Week 2 - The RDF Data Model
Quizzes
- RDF / XML
- An RDF Graph in the Turtle Syntax
- An RDF Graph in the RDF/XML Syntax
- Advanced Level Exercise
- Modelling and Formalizing an RDF Schema
Discussion Prompts
- Have you found interesting RDF data on the Web?
- Share your resources
- Questions about this Week Contents
- Share your Resources
Module 3: SPARQL Query Language
Videos
- RDF graph pattern matching
- Statements
- Filter, constraint and function
- Pre and post-processing
- Several Query forms
- Results and update
- Flint SPARQL editor
- Corese
- Gephi and Corese to analyse data on the web
- QAKIS.org
- Take away week
Readings
- Introduction to week 3 and to-do-list
- SPARQL Queries from the video "RDF Graph Pattern Matching"
- SPARQL Queries from the video "Statements"
- SPARQL Queries from the video "Filter, Constraint and Function"
- Solve SUDOKU with SPARQL...
- SPARQL Queries from the video "Pre and Post Processing"
- SPARQL with FLINT interface
- Several Query Forms
- Slides of Week 3: SPARQL Query Language10m
- Train yourself
- Continue eating your own dog food
- Links and References
- SPARQL Query Language
- Summary of Week 3 - SPARQL Query Language
Quizzes
- SPARQL statements and Complex Patterns
- Filter the name
- Post processing and Other query forms
- Advanced level exercise
Discussion Prompts
- Do you know other references on this topic?
- SPARQL
- Questions about this Week Contents
- Share your Resources
Module 4: Integration of other data formats and sources
Videos
- RDFa: an RDF syntax inside HTML
- GRDDL: extract RDF from X(HT)ML
- JSON-LD: JSON syntax for RDF
- Tabular data and metadata (CSV)
- R2RML: integration with databases
- LDP: a REST API to linked data
- Augmenting web browser with data in the pages
- RDFa distiller
- JSON-LD from Google Knowledge Graph API
- Licentia: A web site to choose the license of your data
- Take away week 4
- Conclusion
Readings
- Introduction to week 4 and to-do-list
- Data from the video "an RDF syntax inside HTML"
- RDFa Lite Cheat Sheet
- schema.org
- Twitter cards
- RDFa.info Play tool
- GRDDL example in HTML and XML
- Data from the video "JSON-LD: JSON syntax for RDF"
- Data from the video: "Tabular data and metadata (CSV)"
- Data from the video: "R2RML mapping"5m
- Data from the video: "LDP: a REST API to linked data"
- Microformats
- Google Knowledge Graph Search API5m
- Slides of the 4th Week
- End of the week and end of the MOOC exercises
- Summary of week
- Support slides to the video
Quizzes
- Linked data
- RDF with holes...
- SPARQL
- From RDFa to Turtle/N3
- GRDDL
- JSON-LD in the Google Knowledge Graph API
- CSV on the Web
- R2RML - Specifying a transformation
- LDP - Call to a container
Discussion Prompts
- Questions about this Week Contents
- Share your Resources
Scholarship Details
You can avail scholarship for your Coursera Plus membership in the form of financial aid. To apply, fill the application form that appears beside the 'Enroll for free' tab above the 'About this course' section of the course page. Then, in about two weeks, a Coursera representative will contact you.
How it helps
The Web of Data online course is a 100% online programme completed in 18 hours approximately. You can study at your pace and space through videos, quizzes, and other resources. You can learn from this short-term course for free, or if you want to commit to earning the certificate, you can pay the course fee. The main benefit of the e-certificate is that it can be shared on LinkedIn and added to your list of accomplishments to increase your employability.
Instructors
Ms Catherine Faron Zucker
Associate Professor
EIT Digital
Ph.D
Mr Fabien Gandon
Professor
EIT Digital
Ph.D
Mr Olivier Corby
Researcher
EIT Digital
Ph.D
FAQs
The Web of Data certification programme is 100% online and doesn’t include offline classes.
To access the graded assignments and material, you must purchase the Coursera membership.
The course can be finished in 18 hours. However, you can take your own time as it has been designed for the self-learning format.
Yes, you can enrol in multiple courses offered by Coursera and earn unlimited certificates.
The Web of Data training will be instructed by Catherine Faron Zucker, Olivier Corby, and Fabien Gandon.
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